An artificial neural network-based diagnostic methodology for gas turbine path analysis—part II: case study

@article{Capata2016AnAN,
  title={An artificial neural network-based diagnostic methodology for gas turbine path analysis—part II: case study},
  author={Roberto Capata},
  journal={Energy, Ecology and Environment},
  year={2016},
  volume={1},
  pages={351 - 359},
  url={https://api.semanticscholar.org/CorpusID:114081996}
}
The approach of a diagnostic scenario to detect faults in the gas path of a gas turbine has been presented and a large-scale integration of artificial neural networks designed to detect, isolate and evaluate failures during the operating conditions are presented.
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